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NEW QUESTION 40
A technology company has a suite of container-based web applications and serverless solutions that are hosted in AWS. The Solutions Architect must define a standard infrastructure that will be used across development teams and applications. There are application-specific resources too that change frequently, especially during the early stages of application development. Developers must be able to add supplemental resources to their applications, which are beyond what the architects predefined in the system environments and service templates.
Which of the following should be implemented to satisfy this requirement?
- A. Use the Amazon EKS Anywhere service for deploying container applications and serverless solutions. Create a service instance for each application-specific resource.
- B. Use the Amazon Elastic Container Service (ECS) Anywhere service for deploying container applications and serverless solutions. Configure Prometheus metrics collection on the ECS cluster and use Amazon Managed Service for Prometheus for monitoring frequently-changing resources
- C. Set up AWS Proton for deploying container applications and serverless solutions. Create components from the AWS Proton console and attach them to their respective service instance.
- D. Set up AWS Control Tower to automate container-based application deployments. Use AWS Config for application-specific resources that change frequently.
Answer: C
Explanation:
AWS Proton allows you to deploy any serverless or container-based application with increased efficiency, consistency, and control. You can define infrastructure standards and effective continuous delivery pipelines for your organization. Proton breaks down the infrastructure into environment and service ("infrastructure as code" templates).
As a developer, you select a standardized service template that AWS Proton uses to create a service that deploys and manages your application in a service instance. An AWS Proton service is an instantiation of a service template, which normally includes several service instances and a pipeline.
The diagram above displays the high-level overview of a simple AWS Proton workflow.
In AWS Proton administrators define standard infrastructure that is used across development teams and applications. However, development teams might need to include additional resources for their specific use cases, like Amazon Simple Queue Service (Amazon SQS) queues or Amazon DynamoDB tables.
These application-specific resources might change frequently, particularly during early application development. Maintaining these frequent changes in administrator-authored templates might be hard to manage and scale-administrators would need to maintain many more templates without real administrator added value. The alternative-letting application developers author templates for their applications-isn't ideal either, because it takes away administrators' ability to standardize the main architecture components, like AWS Fargate tasks. This is where components come in.
With a component, a developer can add supplemental resources to their application, above and beyond what administrators defined in environment and service templates. The developer then attaches the component to a service instance. AWS Proton provisions infrastructure resources defined by the component just like it provisions resources for environments and service instances.
Hence, the correct answer is: Set up AWS Proton for deploying container applications and serverless solutions. Create components from the AWS Proton console and attach them to their respective service instance.
The option that says: Use the Amazon EKS Anywhere service for deploying container applications and serverless solutions. Create a service instance for each application-specific resource is incorrect.
Amazon EKS Anywhere just allows you to manage a Kubernetes cluster on external environments that are supported by AWS. It is better to use AWS Proton with custom Components that can be attached to the different service instances of the company's application suite.
The option that says: Set up AWS Control Tower to automate container-based application deployments.
Use AWS Config for application-specific resources that change frequently is incorrect. AWS Control Tower is used to simplify the creation of new accounts with preconfigured constraints. It isn't used to automate application deployments. Moreover, AWS Config is commonly used for monitoring the changes of AWS resources and not the custom resources for serverless or container-based applications in AWS.
A combination of AWS Proton and Components is the most suitable solution for this scenario.
The option that says: Use the Amazon Elastic Container Service (ECS) Anywhere service for deploying container applications and serverless solutions. Configure Prometheus metrics collection on the ECS cluster and use Amazon Managed Service for Prometheus for monitoring frequently-changing resources is incorrect. The Amazon Managed Service for Prometheus is only a Prometheus-compatible monitoring and alerting service that makes it easy to monitor containerized applications and infrastructure at scale.
It is not capable of tracking or maintaining your application-specific resources that change frequently.
References:
https://docs.aws.amazon.com/proton/latest/userguide/Welcome.html
https://aws.amazon.com/blogs/architecture/simplifying-multi-account-ci-cd-deployments-using-aws-proto n/
NEW QUESTION 41
A company has applications that run on Amazon EC2 instances in a VPC. One of the applications needs to call the Amazon S3 API to store and read objects. According to the company's security regulations, no traffic from the applications is allowed to travel across the internet.
Which solution will meet these requirements?
- A. Create an S3 bucket in a private subnet.
- B. Configure an S3 gateway endpoint.
- C. Configure an S3 interface endpoint.
- D. Create an S3 bucket in the same Region as the EC2 instance.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/userguide/privatelink-interface-endpoints.html#types-of-vpc-end
NEW QUESTION 42
A Solutions Architect is working for a company which has multiple VPCs in various AWS regions. The Architect is assigned to set up a logging system which will track all of the changes made to their AWS resources in all regions, including the configurations made in IAM, CloudFront, AWS WAF, and Route S3. In order to pass the compliance requirements, the solution must ensure the security, integrity, and durability of the log data. It should also provide an event history of all API calls made in AWS Management Console and AWS CLI.
Which of the following solutions is the best fit for this scenario?
- A. Set up a new CloudTrail trail in a new S3 bucket using the AWS CLI and also pass both the --is-multi- region-trail and --include-global-service-events parameters then encrypt log files using KMS encryption.
Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies. - B. Set up a new CloudTrail trail in a new S3 bucket using the AWS CLI and also pass both the --is-multi- region-trail and --no-include-global-service-events parameters then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies.
- C. Set up a new CloudWatch trail in a new S3 bucket using the CloudTrail console and also pass the -- is-multi-region-trail parameter then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies.
- D. Set up a new CloudWatch trail in a new S3 bucket using the AWS CLI and also pass both the --is- multi-region-trail and --include-global-service-events parameters then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies.
Answer: A
Explanation:
An event in CloudTrail is the record of an activity in an AWS account. This activity can be an action taken by a user, role, or service that is monitorable by CloudTrail. CloudTrail events provide a history of both API and non-API account activity made through the AWS Management Console, AWS SDKs, command- line tools, and other AWS services. There are two types of events that can be logged in CloudTrail:
management events and data events. By default, trails log management events, but not data events.
A trail can be applied to all regions or a single region. As a best practice, create a trail that applies to all regions in the AWS partition in which you are working. This is the default setting when you create a trail in the CloudTrail console.
For most services, events are recorded in the region where the action occurred. For global services such as AWS Identity and Access Management (IAM), AWS STS, Amazon CloudFront, and Route 53, events are delivered to any trail that includes global services, and are logged as occurring in US East (N.
Virginia) Region.
In this scenario, the company requires a secure and durable logging solution that will track all of the activities of all AWS resources in all regions. CloudTrail can be used for this case with multi-region trail enabled, however, it will only cover the activities of the regional services (EC2, S3, RDS etc.) and not for global services such as IAM, CloudFront, AWS WAF, and Route 53. In order to satisfy the requirement, you have to add the --include-global-service-events parameter in your AWS CLI command.
The option that says: Set up a new CloudTrail trail in a new S3 bucket using the AWS CLI and also pass both the --is-multi-region-trail and --include-global-service-events parameters then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies is correct because it provides security, integrity, and durability to your log data and in addition, it has the -include-global-service-events parameter enabled which will also include activity from global services such as IAM, Route 53, AWS WAF, and CloudFront.
The option that says: Set up a new CloudWatch trail in a new S3 bucket using the AWS CLI and also pass both the --is-multi-region-trail and --include-global-service-events parameters then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies is incorrect because you need to use CloudTrail instead of CloudWatch.
The option that says: Set up a new CloudWatch trail in a new S3 bucket using the CloudTrail console and also pass the --is-multi-region-trail parameter then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies is incorrect because you need to use CloudTrail instead of CloudWatch. In addition, the --include-global-service-events parameter is also missing in this setup.
The option that says: Set up a new CloudTrail trail in a new S3 bucket using the AWS CLI and also pass both the --is-multi-region-trail and --no-include-global-service-events parameters then encrypt log files using KMS encryption. Apply Multi Factor Authentication (MFA) Delete on the S3 bucket and ensure that only authorized users can access the logs by configuring the bucket policies is incorrect because the -- is-multi-region-trail is not enough as you also need to add the --include-global-service-events parameter and not --no-include-global-service-events.
References:
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-concepts.html#cloudtrail-concepts
-global-service-events
http://docs.aws.amazon.com/IAM/latest/UserGuide/cloudtrail-integration.html
https://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-create-and-update-a-trail-by-using
-the-aws-cli.html
Check out this AWS CloudTrail Cheat Sheet:
https://tutorialsdojo.com/aws-cloudtrail/
NEW QUESTION 43
A company hosted an e-commerce website on an Auto Scaling group of EC2 instances behind an Application Load Balancer. The Solutions Architect noticed that the website is receiving a large number of illegitimate external requests from multiple systems with IP addresses that constantly change. To resolve the performance issues, the Solutions Architect must implement a solution that would block the illegitimate requests with minimal impact on legitimate traffic.
Which of the following options fulfills this requirement?
- A. Create a custom network ACL and associate it with the subnet of the Application Load Balancer to block the offending requests.
- B. Create a regular rule in AWS WAF and associate the web ACL to an Application Load Balancer.
- C. Create a rate-based rule in AWS WAF and associate the web ACL to an Application Load Balancer.
- D. Create a custom rule in the security group of the Application Load Balancer to block the offending requests.
Answer: C
Explanation:
AWS WAF is tightly integrated with Amazon CloudFront, the Application Load Balancer (ALB), Amazon API Gateway, and AWS AppSync - services that AWS customers commonly use to deliver content for their websites and applications. When you use AWS WAF on Amazon CloudFront, your rules run in all AWS Edge Locations, located around the world close to your end-users. This means security doesn't come at the expense of performance. Blocked requests are stopped before they reach your web servers.
When you use AWS WAF on regional services, such as Application Load Balancer, Amazon API Gateway, and AWS AppSync, your rules run in the region and can be used to protect Internet-facing resources as well as internal resources.
A rate-based rule tracks the rate of requests for each originating IP address and triggers the rule action on IPs with rates that go over a limit. You set the limit as the number of requests per 5-minute time span.
You can use this type of rule to put a temporary block on requests from an IP address that's sending excessive requests.
Based on the given scenario, the requirement is to limit the number of requests from the illegitimate requests without affecting the genuine requests. To accomplish this requirement, you can use AWS WAF web ACL. There are two types of rules in creating your own web ACL rule: regular and rate-based rules.
You need to select the latter to add a rate limit to your web ACL. After creating the web ACL, you can associate it with ALB. When the rule action triggers, AWS WAF applies the action to additional requests from the IP address until the request rate falls below the limit.
Hence, the correct answer is: Create a rate-based rule in AWS WAF and associate the web ACL to an Application Load Balancer.
The option that says: Create a regular rule in AWS WAF and associate the web ACL to an Application Load Balancer is incorrect because a regular rule only matches the statement defined in the rule. If you need to add a rate limit to your rule, you should create a rate-based rule.
The option that says: Create a custom network ACL and associate it with the subnet of the Application Load Balancer to block the offending requests is incorrect. Although NACLs can help you block incoming traffic, this option wouldn't be able to limit the number of requests from a single IP address that is dynamically changing.
The option that says: Create a custom rule in the security group of the Application Load Balancer to block the offending requests is incorrect because the security group can only allow incoming traffic.
Remember that you can't deny traffic using security groups. In addition, it is not capable of limiting the rate of traffic to your application unlike AWS WAF.
References:
https://docs.aws.amazon.com/waf/latest/developerguide/waf-rule-statement-type-rate-based.html
https://aws.amazon.com/waf/faqs/
Check out this AWS WAF Cheat Sheet:
https://tutorialsdojo.com/aws-waf/
AWS Security Services Overview - WAF, Shield, CloudHSM, KMS:
https://www.youtube.com/watch?v=-1S-RdeAmMo
NEW QUESTION 44
A startup is building an AI-based face recognition application in AWS, where they store millions of images in an S3 bucket. As the Solutions Architect, you have to ensure that each and every image uploaded to their system is stored without any issues.
What is the correct indication that an object was successfully stored when you put objects in Amazon S3?
- A. You will receive an SMS from Amazon SNS informing you that the object is successfully stored.
- B. HTTP 200 result code and MD5 checksum.
- C. Amazon S3 has 99.999999999% durability hence, there is no need to confirm that data was inserted.
- D. You will receive an email from Amazon SNS informing you that the object is successfully stored.
Answer: B
Explanation:
If you triggered an S3 API call and got HTTP 200 result code and MD5 checksum, then it is considered as a successful upload. The S3 API will return an error code in case the upload is unsuccessful.
The option that says: Amazon S3 has 99.999999999% durability hence, there is no need to confirm that data was inserted is incorrect because although S3 is durable, it is not an assurance that all objects uploaded using S3 API calls will be successful.
The options that say: You will receive an SMS from Amazon SNS informing you that the object is successfully stored and You will receive an email from Amazon SNS informing you that the object is successfully stored are both incorrect because you don't receive an SMS nor an email notification by default, unless you added an event notification.
Explanation:
Reference:
https://docs.aws.amazon.com/AmazonS3/latest/API/RESTObjectPOST.html Check out this Amazon S3 Cheat Sheet: https://tutorialsdojo.com/amazon-s3/
NEW QUESTION 45
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